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BMCBI
2010
160views more  BMCBI 2010»
13 years 11 months ago
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
Junbai Wang, Tianhai Tian
CODES
2004
IEEE
14 years 2 months ago
Facilitating reuse in hardware models with enhanced type inference
High-level hardware modeling is an essential, yet time-consuming, part of system design. However, effective component-based reuse in hardware modeling languages can reduce model c...
Manish Vachharajani, Neil Vachharajani, Sharad Mal...
CORR
2012
Springer
187views Education» more  CORR 2012»
12 years 7 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä
CSDA
2008
122views more  CSDA 2008»
13 years 11 months ago
Bayesian inference for nonlinear multivariate diffusion models observed with error
Diffusion processes governed by stochastic differential equations (SDEs) are a well established tool for modelling continuous time data from a wide range of areas. Consequently, t...
Andrew Golightly, Darren J. Wilkinson
ICML
2008
IEEE
14 years 12 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona